Result for 511F1BFE83B5E6F0D55F71AD8EA48009A2ADB3C0

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/Meta/package.rds
FileSize1281
MD54BDBF6D77F599394FE28FB713EEDDEC6
SHA-1511F1BFE83B5E6F0D55F71AD8EA48009A2ADB3C0
SHA-256C413E11AD90AAFC17C837F7F0260D4D1D030C9ECC33F6C801506E67C11CF7973
SSDEEP24:XltlM4WR4g9gbKzTrtX+2mEIz2BYw370v35JnTpNHRiqhMhA4cuBLedVFxsGZxjp:XT5WR992cpX+vimw370/XNNUEQADuB2L
TLSHT12521C89814A3CBAE4C69B891CC3F23136D94A27C02D60D0B4C688C37A3241B43A9A5BC
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize123952
MD5E21FF49D480D464E9B998131E02C9A74
PackageDescriptionGNU R package for bias reduction in binomial-response GLMs Fit generalized linear models with binomial responses using either an adjusted-score approach to bias reduction or maximum penalized likelihood where penalization is by Jeffreys invariant prior. These procedures return estimates with improved frequentist properties (bias, mean squared error) that are always finite even in cases where the maximum likelihood estimates are infinite (data separation). Fitting takes place by fitting generalized linear models on iteratively updated pseudo-data. The interface is essentially the same as 'glm'. More flexibility is provided by the fact that custom pseudo-data representations can be specified and used for model fitting. Functions are provided for the construction of confidence intervals for the reduced-bias estimates.
PackageMaintainerDebian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageNamer-cran-brglm
PackageSectiongnu-r
PackageVersion0.7.2-1
SHA-1049487A17BBE796E8F2C58DF9DF8EBF6F9614774
SHA-256EBE35DA45C2932371E0F9E925C4BF5A61716AF87796EA3974941D0EEB6EFE31F